Session: Demonstrating the Machine Learning Cycle
The Machine Learning Fly Wheel: Optimizing the process of creating a set of training for continuous machine learning
- Optimizing Machine Learning
Evan is a Sr. Technical Product Manager building out the Core Client Platform and Suspicious Activity Detection offering at Ocrolus. Previously, she helped launch You Invest while on the product team at JP Morgan Chase and worked on the operations team at Vettery (acquired by The Adecco Group). In her free time, she enjoys playing tennis, baking, and taking care of her plants.
Sylvia is a Senior Machine Learning Engineer at Ocrolus. At Ocrolus, she has contributed to language-based models that make predictions based on text and novel research in privacy protection, working on all phases of the project from idea to implementation. Previously she worked as a Machine Learning Engineer at Simple Contacts automating an online eye exam. For over ten years, she’s tutored math and computer science to students of all ages and skill levels. She loves teaching and learning and reading popular science books about quantum physics and time. She also loves swimming, cooking, and vintage European lamps.
Kirsten solves complex problems. As a chemical engineer to the Technical Product Manager role she owns today, Kirsten first and foremost identifies and solves the most difficult problems her teams encounter. More specifically, she specializes in identifying thorny obstacles before they become roadblocks, devises elegant solutions to those obstacles, and then implements those solutions before the problem actually manifests. For Ocrolus, that takes the form of owning the DocClassify and Paystub Capture offerings. In her free time, she likes to listen to KPop and keeps her team smiling by frequently sending them memes from The Office.